A parabolic relationship between prediction errors and learning rates obtained by a cubic learning algorithm. حسب Boluwatife Ikwunne (22238697)

Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements حسب Pascal Wang (10130612)

"…In `main.py`, the parameters for the TAMS algorithm are specified (trajectory time, time step, score function, number of particles, type of score threshold, maximum number of iterations, noise level etc.). …"

Listed python codes of our algorithm with explanations (Python 3.9 recommended). حسب Takayuki Niizato (162226)

Python-based Monte Carlo Simulation Tool حسب Yangfan Jiang (9372782)

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results حسب Se-Hee Jo (20554623)

"…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …"

Linear interpolation dimension expansion algorithm flowchart. حسب Yuhang Zhang (3144870)

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer حسب Morgan Najera (21540776)

"…</li></ul><p dir="ltr">The scripts rely on the following Python packages. Where available, repository links are provided:</p><ol><li><b>NumPy</b>, version 1.22.1</li><li><b>SciPy</b>, version 1.7.3</li><li><b>PyGAD</b>, version 3.0.1 — https://pygad.readthedocs.io/en/latest/#</li><li><b>bees-algorithm</b>, version 1.0.2 — https://pypi.org/project/bees-algorithm</li><li><b>KrakenOS</b>, version 1.0.0.19 — https://github.com/Garchupiter/Kraken-Optical-Simulator</li><li><b>matplotlib</b>, version 3.5.2</li></ol><p dir="ltr">All scripts are modular and organized to reflect the design stages described in the manuscript.…"

Piecewise linear charging function with 2 pieces. حسب Fengjie Fu (7314347)

Convergence curves of different algorithms on the benchmark functions. حسب Aihua Guo (13267712)

Constructing the dynamical law. حسب Robert Marsland (8616483)

Graph of convergence of PSO algorithm fitness function. حسب Mohammed F. Elnaggar (18297954)

Function graph and algorithm iterative graph. حسب WanRu Zhao (18980374)

الموضوعات:

Values of the fitness function for linear kernel LS-SVM algorithm run on various companies’ datasets. حسب Bitanu Chatterjee (15295261)

"…<p>Values of the fitness function for linear kernel LS-SVM algorithm run on various companies’ datasets.…"

Results obtained by different algorithms on 23 benchmark functions. حسب Yuqi Xiong (12343771)

الموضوعات:

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. حسب Yuanchen Zhao (12905580)

"…(D) Heatmap of the performance of the 3-group Metropolis under increasing intra-group heterogeneity (<i>σ</i>_<i>τ</i>) and inter-group promiscuity (<i>ξ</i>) of species, to show the limitation of linear-regression-based algorithms under fuzzy ground truth groupings. …"

Comparison of algorithms in two cases. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

Flow of the NSGA-II algorithm. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data حسب Anthony S. Barente (14035175)

الموضوعات:

An expectation-maximization algorithm for finding noninvadable stationary states. حسب Robert Marsland (8616483)

Non-Iterative Linear Maximization Algorithm حسب Gerardo L. Febres (4455913)

"…<div>Explicit C sharp code for the Linear Optimization algorithm based on active constraints recognition. …"